基于彩色图像分割的路标检测算法研究

针对交通标志检测问题,首先比较了RGB,HSV,Lab颜色空间中进行颜色分割的优缺点,并提出了基于Lab颜色空间进行交通路标定位的方法,然后对HSV空间阈值分割、Lab空间阈值分割、Lab空间聚类分割的效果进行了分析与比较,证明了Lab空间阈值分割的效果较好,最后结合交通标志的颜色信息,采用Hough变换方法定位出圆形路标,采用最优拐角检测方法定位出三角形和矩形路标。实验结果证明,该方法能准确定位出交通标志。

Traffic Signs Detection Algorithm Research Based on the Division of the Color Image

In the light of the detection of the traffic signs,this article fist compared with the advantages and disadvantages of RGB,HSV,Lab color image,putting forward the new method of traffic signs based on Lab color space;then analysis and comparison of the segmentation effect based on the threshold segmentation of HSV space,threshold segmentation of Lab space,cluster segmentation of Lab space,proving that the effect is better of threshold segmentation based on Lab space;in the end,combination with the color information locating circular traffic signs,through optimal corner detection algorithm locating triangle traffic signs and rectangular signs.The experimental results show that this method can accurately locate traffic signs.